Z-Image Turbo
IMAGEFeaturedqwen-z-image-turbo
Z-Image-Turbo is a cutting-edge text-to-image model developed by Tongyi-MAI that prioritizes extreme inference speed without sacrificing visual quality. This powerful model utilizes advanced distillation techniques to achieve near real-time image synthesis, making it ideal for interactive applications and high-demand production environments. By significantly reducing computational overhead, it enables creators to generate high-fidelity visuals faster than traditional diffusion frameworks. The model excels at interpreting natural language prompts with remarkable precision, delivering vibrant and detailed imagery across a wide range of artistic styles. Its optimized architecture ensures a seamless balance between creative flexibility and technical efficiency, catering to both professional designers and software developers. Explore the capabilities of Z-Image-Turbo on Hugging Face to integrate lightning-fast, high-performance image generation into your next digital project.
curl --request POST \ --url https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/qwen-z-image-turbo/inferences \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data '{ "prompt": "a knight standing in a snowy forest", "aspect_ratio": "SQUARE_1K", "quality": "HIGH", "transparency": false}'import requests
url = "https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/qwen-z-image-turbo/inferences"
payload = { "prompt": "a knight standing in a snowy forest", "aspect_ratio": "SQUARE_1K", "quality": "HIGH", "transparency": False}headers = { "Authorization": "Bearer <token>", "Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.json())const url = 'https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/qwen-z-image-turbo/inferences';const options = { method: 'POST', headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'}, body: '{"prompt":"a knight standing in a snowy forest","aspect_ratio":"SQUARE_1K","quality":"HIGH","transparency":false}'};
try { const response = await fetch(url, options); const data = await response.json(); console.log(data);} catch (error) { console.error(error);}package main
import ( "fmt" "strings" "net/http" "io")
func main() {
url := "https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/qwen-z-image-turbo/inferences"
payload := strings.NewReader("{\n \"prompt\": \"a knight standing in a snowy forest\",\n \"aspect_ratio\": \"SQUARE_1K\",\n \"quality\": \"HIGH\",\n \"transparency\": false\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>") req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close() body, _ := io.ReadAll(res.Body)
fmt.Println(res) fmt.Println(string(body))
}<?php
$curl = curl_init();
curl_setopt_array($curl, [ CURLOPT_URL => "https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/qwen-z-image-turbo/inferences", CURLOPT_RETURNTRANSFER => true, CURLOPT_ENCODING => "", CURLOPT_MAXREDIRS => 10, CURLOPT_TIMEOUT => 30, CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1, CURLOPT_CUSTOMREQUEST => "POST", CURLOPT_POSTFIELDS => json_encode([ 'prompt' => 'a knight standing in a snowy forest', 'aspect_ratio' => 'SQUARE_1K', 'quality' => 'HIGH', 'transparency' => null ]), CURLOPT_HTTPHEADER => [ "Authorization: Bearer <token>", "Content-Type: application/json" ],]);
$response = curl_exec($curl);$err = curl_error($curl);
curl_close($curl);
if ($err) { echo "cURL Error #:" . $err;} else { echo $response;}OkHttpClient client = new OkHttpClient();
MediaType mediaType = MediaType.parse("application/json");RequestBody body = RequestBody.create(mediaType, "{\n \"prompt\": \"a knight standing in a snowy forest\",\n \"aspect_ratio\": \"SQUARE_1K\",\n \"quality\": \"HIGH\",\n \"transparency\": false\n}");Request request = new Request.Builder() .url("https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/qwen-z-image-turbo/inferences") .post(body) .addHeader("Authorization", "Bearer <token>") .addHeader("Content-Type", "application/json") .build();
Response response = client.newCall(request).execute();require 'uri'require 'net/http'
url = URI("https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/qwen-z-image-turbo/inferences")
http = Net::HTTP.new(url.host, url.port)http.use_ssl = true
request = Net::HTTP::Post.new(url)request["Authorization"] = 'Bearer <token>'request["Content-Type"] = 'application/json'request.body = "{\n \"prompt\": \"a knight standing in a snowy forest\",\n \"aspect_ratio\": \"SQUARE_1K\",\n \"quality\": \"HIGH\",\n \"transparency\": false\n}"
response = http.request(request)puts response.read_bodyvar client = new RestClient("https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/qwen-z-image-turbo/inferences");var request = new RestRequest("", Method.Post);request.AddHeader("Authorization", "Bearer <token>");request.AddHeader("Content-Type", "application/json");request.AddParameter("application/json", "{\n \"prompt\": \"a knight standing in a snowy forest\",\n \"aspect_ratio\": \"SQUARE_1K\",\n \"quality\": \"HIGH\",\n \"transparency\": false\n}", ParameterType.RequestBody);var response = client.Execute(request);Authorizations
Section titled “Authorizations”Parameters
Section titled “Parameters”Path Parameters
Section titled “Path Parameters”Id of the workspace that owns the resource.
Id of the workspace that owns the resource.
Query Parameters
Section titled “Query Parameters”Organize this run under a named session. A new session is created if none matches.
Organize this run under a named session. A new session is created if none matches.
Header Parameters
Section titled “Header Parameters”Opaque key making a retry of this request return the first result. A 2xx response is replayed for 24 hours with Idempotent-Replayed: true. A 4xx releases the key. A 5xx, or a request still running, holds the key for 120 seconds, during which a retry gets 409; after that a retry executes again. The key covers the method, path, query, and byte-identical body it was first used with; reusing it for a different request is rejected with 422. Protection is best effort: if the key store is unavailable, or a record is lost early, a retry can execute again even after an earlier 409. See the Idempotency section of the API description.
Request Bodyrequired
Section titled “Request Bodyrequired”object
Describe what to generate, or the change to make.
Make the image repeat without a visible seam when tiled side by side.
Advanced field.
The shape and size of the output.
Higher levels render more detail, and can take longer and cost more.
Let the model rewrite the prompt before generating.
Advanced field.
The starting point for the model’s randomness. The same seed and settings give the same result.
Advanced field.
How many refinement passes the model makes. More add detail and take longer.
Advanced field.
Output the subject alone, with no backdrop behind it.
Trim the transparent margin, and place the image on a canvas of a fixed size.
object
How the drawing goes onto a fixed canvas. The names follow the workflow Resize node’s.
The point of the drawing that lands on the same point of the canvas.
BASE is a game tile’s base: its anchor, the bottom centre of the cell it stands on, lands
at the bottom centre of the canvas, so tiles of one grid stand on the same point whatever rises above them.
The language the prompt is written in, so it reaches the model as you meant it.
Advanced field.
Example
{ "prompt": "a knight standing in a snowy forest", "aspect_ratio": "SQUARE_1K", "quality": "HIGH", "transparency": false}Responses
Section titled “Responses”Successful Response
object
Unique identifier for this forge run.
Current status: IN_PROGRESS.
Estimated price in Creative Units.
Suggested polling interval in seconds.
Timestamp of when the run was created.
Session ID the run was added to, if a session was specified.
Inference parameters after model-specific normalization.
These reflect the actual values used for generation, including model defaults applied for any parameters not explicitly set.
object
Resolved output width in pixels.
Resolved output height in pixels.
Number of outputs to generate.
Resolved number of diffusion steps.
Resolved guidance scale.
Resolved output length in seconds — video duration or audio clip length.
Resolved FPS.
Example
{ "status": "in_progress"}Unauthenticated — missing or invalid Bearer token.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Forbidden — insufficient permissions, or the access token lacks the scope the operation requires.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Resource not found.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}The outcome of the request with this Idempotency-Key is not known yet: it is still running, or it failed without a stored response. Retry after the number of seconds in Retry-After.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Invalid input parameters, or an Idempotency-Key reused for a different request.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Rate limited — retry after the number of seconds in Retry-After.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Internal server error.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}